• 한국건설순환자원학회논문집
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• 제9권4호
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• pp.650-657
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• 2021

광물질 혼화재를 자극하는 알칼리 활성화제는 고가의 소재이지만, 고 알칼리 성분의 산업부산물 대체하기 위해서는 제품성과 경제성을 모두 만족하여야 한다. 본 연구에서는 50MPa 이상의 고강도 콘크리트에 GGBFS의 알칼리 활성 반응을 위한 목적으로 LCD 제조 공정에서 발생하는 알칼리 산업부산물(LW)을 사용하였다. LW을 혼입한 콘크리트는 작업성이 다소 저하되었으나, 압축강도가 증진되는 특징이 있었다. ACI 209.2R-08 압축강도 모델식을 이용하여 분석하여 LW 혼입에 따른 강도계수의 변화를 비교하였다. 콘크리트의 내구성능 시험에서도 염화물 침투 저항성 및 탄산화 저항성에서 우수한 성능을 나타내었다. 단열온도 상승시험 결과에서는 LW를 혼입하면 초기 수화열이 빨라지는 효과가 있으나, 최종 단열온도상승량은 LW의 혼입 유, 무에 큰 영향을 받지 않았다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2009년도 춘계 학술대회 제21권1호
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• pp.265-266
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• 2009

콘크리트의 내구성, 즉 염해, 증성화, 동해, 화학적 침식 등의 열화현상을 예측하기 위해서는 우선 콘크리트 내부의 온습도를 파악하는 것이 무엇보다도 중요하다. 본 연구에서는 열-수분 이동을 고려 한 복합 물리적 모델 구축 및 실측을 통하여 시간경과에 따른 콘크리트 내부의 온습도 변화를 추정하고자 하였다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2010년도 춘계 학술대회 제22권1호
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• pp.465-466
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• 2010

In this paper, an integrated system is proposed which can evaluate both the early-age properties and durability performance of concrete structures. This integrated system starts with a hydration model which considers both Portland cement hydration and chemical reactions of supplementary cementing materials (SCM). Based on the degree of hydration of cement and mineral admixtures, the amount of reaction products, the early age heat evolution, chemically bound water, porosity, the early age short-term mechanical behaviors, shrinkage and early-age creep are evaluated as a function of curing age and curing conditions. Furthermore, the durability aspect, such as carbonation of blended concrete and chloride attack, are evaluated considering both the material properties and surrounding environments. The prediction results are verified through experimental results.

• 한양메디칼리뷰
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• 제34권3호
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• pp.130-136
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• 2014

Animals find nutritious foods to survive, while avoiding aversive and toxic chemicals through the chemosensory faculties of olfaction and taste. The olfaction is comparatively well characterized, but the studies of taste are only recently developing since after 2000. Genetic, immunohistochemistry, and electrophysiological studies with knock-out transgenic mice opened up the taste field in mammals. Taste in insects has been only recently been studied after mammalian taste receptors were identified. Flies also discriminate the differences of sweet, salty and sour food, while being able to detect and reject potential foods contaminated with toxins or detrimental chemicals. These discriminatory abilities indicate that flies house basic taste receptors in their taste organs like humans. For the last decade, the sweet and bitter gustatory receptors in Drosophila have been characterized. In this review, we compare the taste anatomy between humans and insects. We also introduce five canonical taste sensations in Drosophila. In addition, we introduce new taste repertoires, that fruit flies can sense water and fatty acids as well as the carbonation buffer in beverage. These studies on simple model organisms will open up a new potential for scientists to further investigate these characteristics in vertebrates.

• 한국공간구조학회논문집
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• 제24권2호
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• pp.83-90
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• 2024

Machine learning is widely applied to various engineering fields. In structural engineering area, machine learning is generally used to predict structural responses of building structures. The aging deterioration of reinforced concrete structure affects its structural behavior. Therefore, the aging deterioration of R.C. structure should be consider to exactly predict seismic responses of the structure. In this study, the machine learning based seismic response prediction model was developed. To this end, four machine learning algorithms were employed and prediction performance of each algorithm was compared. A 3-story coupled shear wall structure was selected as an example structure for numerical simulation. Artificial ground motions were generated based on domestic site characteristics. Elastic modulus, damping ratio and density were changed to considering concrete degradation due to chloride penetration and carbonation, etc. Various intensity measures were used input parameters of the training database. Performance evaluation was performed using metrics like root mean square error, mean square error, mean absolute error, and coefficient of determination. The optimization of hyperparameters was achieved through k-fold cross-validation and grid search techniques. The analysis results show that neural networks and extreme gradient boosting algorithms present good prediction performance.

• Structural Engineering and Mechanics
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• 제30권6호
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• pp.713-732
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• 2008

Serviceability and durability of the concrete members can be seriously affected by the corrosion of steel rebar. Carbonation front and or chloride ingress can destroy the passive film on rebar and may set the corrosion (oxidation process). Depending on the level of oxidation (expansive corrosion products/rust) damage to the cover concrete takes place in the form of expansion, cracking and spalling or delamination. This makes the concrete unable to develop forces through bond and also become unprotected against further degradation from corrosion; and thus marks the end of service life for corrosion-affected structures. This paper presents an analytical model that predicts the weight loss of steel rebar and the corresponding time from onset of corrosion for the known corrosion rate and thus can be used for the determination of time to cover cracking in corrosion affected RC member. This model uses fully the thick-walled cylinder approach. The gradual crack propagation in radial directions (from inside) is considered when the circumferential tensile stresses at the inner surface of intact concrete have reached the tensile strength of concrete. The analysis is done separately with and without considering the stiffness of reinforcing steel and rust combine along with the assumption of zero residual strength of cracked concrete. The model accounts for the time required for corrosion products to fill a porous zone before they start inducing expansive pressure on the concrete surrounding the steel rebar. The capability of the model to produce the experimental trends is demonstrated by comparing the model's predictions with the results of experimental data published in the literature. The effect of considering the corroded reinforcing steel bar stiffness is demonstrated. A sensitivity analysis has also been carried out to show the influence of the various parameters. It has been found that material properties and their inter-relations significantly influence weight loss of rebar. Time to cover cracking from onset of corrosion for the same weight loss is influenced by corrosion rate and state of oxidation of corrosion product formed. Time to cover cracking from onset of corrosion is useful in making certain decisions pertaining to inspection, repair, rehabilitation, replacement and demolition of RC member/structure in corrosive environment.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2002년도 가을 학술발표회 논문집
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• pp.227-232
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• 2002

To evaluate the practical application of oyster shells as construction materials, an experimental study was performed. More specifically, the long-term mechanical properties and durability of concrete blended with oyster shells were investigated. Test results indicate that long-term strength of concrete blended with 10% oyster shells is almost identical to that of normal concrete. However, the long-term strength of concrete blended with 20% oyster shells Is appreciably lower than that of normal concrete. 1'hereby, concrete with higher oyster shell has the possibility giving a bad influence on the concrete long-term strength. Elastic modulus of concrete blended with crushed oyster shells decreases as the blending mixture ratio increases. Namely, the modulus is reduced by approximately 10∼15% when oyster shells are blended up to 20% replacing the fine aggregate. The drying shrinkage strain increases as the blending ratio increases. In addition, the existing model code of drying shrinkage does not coincide with the test results of this study. An adequate prediction equation needs to be developed. The utilization of oyster shells as the fine aggregate in concrete has an insignificant effect on freezing and thawing resistance, carbonation and sulfuric acid attack of concrete recycling. However, water permeability is considerably improved.

• Computers and Concrete
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• 제4권1호
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• pp.1-18
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• 2007

Over the past decades, an enormous amount of effort has been expended in laboratory and field studies on concrete durability estimation. The results of this research are still either widely scattered in the journal literature or mentioned briefly in the standard textbooks. Moreover, the theoretical approaches of deterioration mechanisms with a predictive character are limited to some complicated mathematical models not widespread in practice. A significant step forward could be the development of appropriate software for computer-based estimation of concrete service life, including reliable mathematical models and adequate experimental data. In the present work, the basis for the development of a computer estimation of the concrete service life is presented. After the definition of concrete mix design and structure characteristics, as well as the consideration regarding the environmental conditions where the structure will be found, the concrete service life can be reliably predicted using fundamental mathematical models that simulate the deterioration mechanisms. The prediction is focused on the basic deterioration phenomena of reinforced concrete, such as carbonation and chloride penetration, that initiate the reinforcing bars corrosion. Aspects on concrete strength and the production cost are also considered. Field observations and data collection from existing structures are compared with predictions of service life using the above model. A first attempt to develop a database of service lives of different types of reinforced concrete structure exposed to varying environments is finally included.

• 한국건설순환자원학회논문집
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• 제5권4호
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• pp.488-495
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• 2017

본 연구에서는 열역학적 평형을 이용한 OPC의 재령에 따른 운동학적 수화 생성물 모델링과 GGBS의 치환률에 따른 수화 생성물의 변화를 모델링하였다. 열역학 데이터는 GEMS의 3rd party 데이터베이스, Cemdata18을 사용하였고, 시멘트 수화 모델링은 Parrot & Killoh 모델을 적용하였다. OPC모델링에서 재령에 따라 Pore solution의 이온 농도와 수화 생성물의 질량 및 부피 변화를 관찰할 수 있었다. GGBS모델링에서는 치환률이 증가함에 따라 장기강도를 지배하는 C-S-H의 생성량은 증가하지만, 내구성에 영향을 미치는 Portlandite의 생성량이 감소하여 탄산화에 대한 대책이 필요할 것으로 판단된다.

• 한국건축시공학회지
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• 제11권4호
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• pp.371-378
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• 2011

콘크리트는 다공질로서 수분이 접하게 되면 시간경과에 따라 흡수가 일어난다. 다양한 배합의 콘크리트에서 어느 정도 수분 흡수가 빨리 일어나는가는 흡수수분 확산계수 산출을 통하여 가능하며, 본 연구에서는 길이가 다른 시험체의 질량 경시변화를 통하여 깊이별 흡수 수분량을 산출하였다. 흡수 수분 확산계수는 시간과 깊이의 함수로 이뤄진 볼츠만 변수를 사용하여 실험값과의 회귀분석을 통하여 구하였으며, 그 정확도는 비선형 유한요소 과도해석을 통하여 검증하였다.